Triple

T14440968
Position Surface form Disambiguated ID Type / Status
Subject Apache OpenOffice E358080 entity
Predicate component P35 FINISHED
Object Base E761751 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Base | Statement: [Apache OpenOffice, component, Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Base
Context triple: [Apache OpenOffice, component, Base]
  • A. Base
    Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
  • B. Base
    Base is a sales-focused customer relationship management (CRM) platform designed to help businesses manage leads, track deals, and analyze sales performance.
  • C. Base chosen
    Base is LibreOffice’s database management application, used to create, manage, and query databases through a graphical interface.
  • D. BASE
    BASE is a physics experiment at CERN that precisely measures the properties of antiprotons to test fundamental symmetries such as CPT invariance.
  • E. Base F
    Base F is the former name of Vernadsky Research Base, a Ukrainian Antarctic research station known for its long-term scientific studies in fields such as meteorology, geology, and upper-atmosphere physics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914c1398819090fa2a74d257ba3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bda6ee88190aeec77092eb3576a completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.